In: Statistics and Probability
A random sample of size n = 55 is taken from a population with mean μ = −10.5 and standard deviation σ = 2. [You may find it useful to reference the z table.]
a. Calculate the expected value and the standard error for the sampling distribution of the sample mean. (Negative values should be indicated by a minus sign. Round "expected value" to 1 decimal place and "standard error" to 4 decimal places.)
b. What is the probability that the sample mean is less than −11? (Round “z” value to 2 decimal places, and final answer to 4 decimal places.)
c. What is the probability that the sample mean falls between −11 and −10? (Do not round intermediate calculations. Round "z" value to 2 decimal places and final answer to 4 decimal places.)
Solution :
Given that,
mean = = −10.5
standard deviation = = −10.5
n = 55
= −10.5
The expected value
= (/n) = ( 2 / 55 ) = 0.2697
The standard error = 0.2697
P ( < 95 )
P (−11< x < −10)
P ( −11 −10.5 / 0.2697) < ( x - / ) < ( −10 - −10.5 / 0.2697)
P ( 0.5 / 0.2697< z < - 0.5/ 0.2697)
P ( 1.85< z < - 1.85 )
P ( z < 0.97 ) - P ( z < - 0.97)
Using z table
= 0.8340 - 0.1660
= 0.6680
Probability = 0.6680